Build cross-validated models
In this exercise, you will build logistic regression models for each fold in your cross-validation.
You will build this using the glm() function and by setting the family argument to "binomial".
Este ejercicio forma parte del curso
Machine Learning in the Tidyverse
Instrucciones del ejercicio
Build models predicting Attrition using all available features with the train data for each fold of the cross validation.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Build a model using the train data for each fold of the cross validation
cv_models_lr <- cv_data %>%
mutate(model = map(___, ~glm(formula = ___,
data = ___, family = ___)))